Sound Quality Analysis of a Passenger Car Based on Rumbling Index

2005 ◽  
Author(s):  
Sang-Kwon Lee ◽  
Byung-Soo Kim ◽  
Hee-Chang Chae ◽  
Dong-Chul Park ◽  
Seung-Gyoon Jung
Keyword(s):  
Sound Quality ◽  
Quality Analysis ◽  
Passenger Car

scholarly journals Sound quality analysis of the powertrain booming noise in a Diesel passenger car

2017 ◽  
Vol 126 ◽  
pp. 971-978 ◽  
Author(s):  
D. Siano ◽  
M.A. Panza
Keyword(s):  
Sound Quality ◽  
Quality Analysis ◽  
Passenger Car

Sound quality analysis of a passenger car based on electroencephalography

2013 ◽  
Vol 27 (2) ◽  
pp. 319-325 ◽  
Author(s):  
Young Joon Lee ◽  
Tae Jin Shin ◽  
Sang Kwon Lee
Keyword(s):  
Sound Quality ◽  
Quality Analysis ◽  
Passenger Car

Active Control of Engine Sound Quality in a Passenger Car Using a Virtual Error Microphone

2019 ◽  
Vol 48 (5) ◽  
pp. 909-927
Author(s):  
Seokhoon Ryu ◽  
Young-Sup Lee ◽  
Seonghyun Kim
Keyword(s):  
Active Control ◽  
Sound Quality ◽  
Passenger Car

Alternator Whining Noise-A Sound Quality Concern in Passenger Car

2011 ◽  
Author(s):  
B. Prasanth ◽  
Sachin Wagh ◽  
David Hudson
Keyword(s):  
Sound Quality ◽  
Passenger Car

scholarly journals Real-Time Sound and Motion Feedback for Violin Bow Technique Learning: A Controlled, Randomized Trial

2021 ◽  
Vol 12 ◽  
Author(s):  
Angel David Blanco ◽  
Simone Tassani ◽  
Rafael Ramirez
Keyword(s):  
Real Time ◽  
Motion Capture ◽  
Sound Quality ◽  
Musical Instrument ◽  
Quality Analysis ◽  
Control Group ◽  
Practice Session ◽  
Quality Feedback ◽  
Bow Technique ◽  
Experimental Group

The production of good sound generation in the violin is a complex task that requires coordination and spatiotemporal control of bowing gestures. The use of motion-capture technologies to improve performance or reduce injury risks in the area of kinesiology is becoming widespread. The combination of motion accuracy and sound quality feedback has the potential of becoming an important aid in violin learning. In this study, we evaluate motion-capture and sound-quality analysis technologies developed inside the context of the TELMI, a technology-enhanced music learning project. We analyzed the sound and bow motion of 50 participants with no prior violin experience while learning to produce a stable sound in the violin. Participants were divided into two groups: the experimental group (N = 24) received real-time visual feedback both on kinematics and sound quality, while participants in the control group (N = 26) practiced without any type of external help. An additional third group of violin experts performed the same task for comparative purposes (N = 15). After the practice session, all groups were evaluated in a transfer phase without feedback. At the practice phase, the experimental group improved their bowing kinematics in comparison to the control group, but this was at the expense of impairing the sound quality of their performance. At the retention phase, the experimental group showed better results in sound quality, especially concerning control of sound dynamics. Besides, we found that the expert group improved the stability of their sound while using the technology. All in all, these results emphasize the importance of feedback technologies in learning complex tasks, such as musical instrument learning.

Sound quality analysis of far-field noise from a high-performance military aircraft

2017 ◽  
Vol 142 (4) ◽  
pp. 2514-2514
Author(s):  
S. Hales Swift ◽  
Kent L. Gee ◽  
Tracianne B. Neilsen ◽  
Alan T. Wall ◽  
Micah Downing ◽  
...  
Keyword(s):  
High Performance ◽  
Sound Quality ◽  
Quality Analysis ◽  
Far Field ◽  
Military Aircraft ◽  
Field Noise
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